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Forward Deployed Engineer (FDE) (m/w/d)
Neuland AI AG
Remote · Germany
Neuland AI AG develops neuland.ai HUB, a German AI management and orchestration platform connecting AI to enterprise processes and systems, with agentic workflows, multi-LLM support and GDPR, DORA and AI Act compliance.
Neuland AI AG builds the neuland.ai HUB, an AI Management and Orchestration platform that connects artificial intelligence to real business processes and existing enterprise systems. Rather than offering a chatbot or a point solution, the platform organises AI company-wide across data, processes and systems, combining contextual understanding, deep integrations, agentic workflows and domain-specific knowledge modules within a controlled framework. It takes a multi-LLM approach, deliberately avoiding vendor lock-in, and is designed for deployment with secure EU hosting or on-premise operation.
Regulatory compliance is a first-class engineering constraint rather than an afterthought: the platform is built to satisfy GDPR, DORA, BRAO and the AI Act. This has shaped adoption among demanding institutional users. Nearly 100 customers have deployed the platform since launch, among them abcfinance GmbH, The German Economic Institute (IW), thyssenkrupp and HGK Shipping, spanning financial services, shipping and logistics, heavy industry, economic research, politics and science.
Technical ambition extends beyond product work. Neuland AI AG conducts in-house AI research on the Exascale supercomputer at Forschungszentrum Jülich, placing engineers close to problems in high-performance computing and frontier model research. The company's second line of business, neuland.ai Academy, delivers workshops, certification programmes and train-the-trainer offerings to help organisations adopt AI responsibly and sustainably - an expression of a mission oriented towards trustworthy AI for business, politics and science.
Headquartered in Germany and operating across Europe, the company is positioned on the "Made in Germany" principles of security, sovereignty and compliance, with an emphasis on responsible, safe and sustainable AI adoption.